Core Viewpoint - HSBC believes that AMD's newly launched MI350 series AI accelerators are now competitive with NVIDIA's Blackwell platform in terms of performance and pricing strategy [2][3] Group 1: AMD's Product Launch and Market Position - AMD's stock price increased by over 4% following HSBC's upgrade of its rating from "Hold" to "Buy" and doubling the target price to $200, which is nearly 40% above the current stock price [2] - The MI350 series allows AMD to "catch up" with NVIDIA, as it competes effectively with NVIDIA's current Blackwell AI platform [2] - The upcoming MI400 series is expected to provide greater growth potential in 2026 [2] Group 2: Financial Projections and Market Expectations - Analysts predict significant upside potential for AMD's AI revenue in fiscal year 2026, estimating AI GPU revenue to reach $15.1 billion, which is 57% higher than the market's average expectation of $9.6 billion [3] - The average selling price of the MI355 accelerator is projected to be $25,000, which is $10,000 higher than previous estimates, yet still about 30% lower than NVIDIA's products, contributing to the potential success of the MI350 series [3] - If growth expectations are met, AMD could achieve a higher valuation multiple, with a target price of $200 indicating nearly 40% upside from current levels [3]

Group 1: AMD's Market Position and Stock Performance - AMD's stock rose nearly 7% during recent trading and approximately 15% year-to-date, driven by growing investor confidence in its role in the AI chip market [2] - The AI semiconductor industry is expanding rapidly, with Nvidia dominating the market and more than doubling its revenue over the last two years, while AMD focuses on increasing GPU sales rather than surpassing Nvidia [2][3] Group 2: AI Market Dynamics - The AI market has seen significant investments from major tech companies, focusing on performance and training speed for large language models, which has favored Nvidia due to its leading chips and established ecosystem [3] - There is a potential plateau in the rapid enhancements of frontier AI models, leading to a shift towards inference workloads where efficiency and cost become more critical [3] Group 3: Opportunities for AMD - AMD may benefit as not all organizations can afford Nvidia's premium GPUs, leading some to opt for older Nvidia models or AMD's more budget-friendly MI series, which are suitable for inference tasks [4] - The introduction of open-source models like Llama from Meta could enable companies to run AI workloads on-site, reducing reliance on expensive cloud computing, which may also favor AMD [4] Group 4: AMD's Product Developments - At its AI Day event, AMD announced the MI350 series, launching in the second half of 2025, which promises four times the AI compute capacity of its predecessor, along with previews of the MI400 and MI450 chips [5] - AMD is enhancing its AI software and systems stack through acquisitions, positioning itself as a comprehensive AI provider, contrasting with Nvidia's proprietary environment [5] Group 5: Strategic Partnerships - AMD's partnership with Oracle aims to make its MI355X GPUs available through Oracle Cloud Infrastructure, offering over two times the price-performance advantage for large-scale AI tasks [6] Group 6: Competitive Landscape - Cloud providers like Google and Amazon are developing their own custom AI chips, which may limit long-term demand for third-party hardware solutions, while Nvidia may focus on more efficient mid-tier chips as the market shifts [6][7]

While NVIDIA NASDAQ: NVDA remains the undisputed leader in AI GPU and infrastructure, its first-mover advantage doesn’t mean it's better. Advanced Micro Devices NASDAQ: AMD GPUs offer advantages to NVIDIA in many use cases due to their dollar-cost efficiency, user-friendliness, and superior compatibility with a wide range of 3rd-party products. The advantages run into performance. Advanced Micro Devices MI 355X has superior memory capacity and bandwidth to NVIDIA's Blackwell, making it an exceptional choice ...

点评：以香港为跳板，加速全球化，科技赋能抢占智能驾驶高地。 3.蚂蚁数科启动申请香港稳定币牌照 1."川超"要来了，四川体育局：借鉴"苏超"联赛发展经验 据界面，6月12日，蚂蚁集团副总裁、蚂蚁数科区块链业务总裁边卓群在SNEC上海光伏展览会上透露，蚂 蚁数科已启动申请香港稳定币牌照，目前已跟监管进行过多轮沟通。据悉，蚂蚁数科今年已经将香港列为 全球总部，并且已经在香港完成监管沙箱的先行先试。当日，蚂蚁数科与协鑫能科共同宣布成立新公司"蚂 蚁鑫能" 。 随着"苏超"的火爆出圈，有网友通过问政四川平台留言呼吁四川举办类似的足球赛事。对此，四川省体育局 答复称，"巴蜀雄起杯"川超联赛将借鉴"苏超"联赛的健康发展经验，完善赛事体系，强化监管，推动公平竞 赛，并动员社会力量参与，促进群众足球与校园足球发展，助力全民健身。据悉，2025年四川"三大球"城市 联赛（足球项目）暨"巴蜀雄起杯"四川省业余足球联赛分赛区拟于6月21日—7月6日进行，总决赛时间为9月 5日—9月27日。竞赛分为男子组和女子组，实行十一人制足球比赛。 点评：借鉴苏超模式，点燃巴蜀热情，推动草根足球与城市文化共融。 2.何小鹏谈进军香港市场 据一财 ...

Artificial Intelligence - Trump will attend the AI Energy Summit in Pittsburgh [1] - Apple plans to delay the long-awaited upgrade of Siri to Spring 2026 [1] - OpenAI's Altman announced the use of AMD's MI300X and MI450 AI chips [1] - Shanghai Municipal Cyberspace Administration guides platforms like Xiaohongshu and Bilibili to clean up illegal AI product marketing information [1] - TPG Capital and Sequoia Capital invested $250 million in Musk's xAI company [1] - AMD claims the latest version of its MI350 series chips outperforms similar products from Nvidia and announced the next generation AI chip, MI400 series [1] Other Developments - Cathie Wood has been purchasing Tesla stock throughout the week [2] - Trump terminated California's electric vehicle mandate, expressing support for Tesla and other electric vehicle companies [3] - Google Cloud experienced an outage, causing service interruptions for OpenAI, Shopify, and others [3] - Micron plans to invest $200 billion in the U.S., with $150 billion allocated to chip manufacturing [3]

OpenAI首席执行官Sam Altman：将采用AMD的MI300X和MI450人工智能芯片。 ...

Group 1 - OpenAI's CEO Sam Altman announced the use of AMD's MI300X and MI450 AI chips [1]